Ruby client for decision models such as Typesafe Jev
Jev ecosystem projects — page 11
5191 repositories with documented relationships and source evidence.
Everything you need to run TypeSafe's Jev with Claude Code: a tool-call guard, tier guard, file search, browser agent, review, belay, compaction and installers.
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Route HTTP requests by meaning. A semantic router for Hono powered by Jev.
A lightweight, native Swift 6 bridge integrating TypeSafe AI's Jev System One decision model into Apple's Foundation Models framework.
Blazing fast structured decisions for System One open-models self-hosted with a TypeSafe AI compatible API, written in Rust.
Two-stage JEV control of a Franka Panda in MuJoCo
Chrome extension: vibe-check your X posts with TypeSafe's Jev before you hit Post
TypeSafe decisions for Pi: batched evaluation tool, terminal playground, and typed API for extension authors
Supersimple way to serve LLMs as a Jev-like endpoint
Classify first. Read selectively. A portable agent plugin and MCP tool for batch text classification.
Real-time Discord moderation bot: Jev evaluates messages and metadata in parallel to catch phishing, spam, and social engineering with a progressive escalation ladder.
Open reproduction of TypeSafe Jev: a 150M typed decision engine (noul/choice/score in one non-autoregressive pass, calibrated confidence). 0.697 vs Jev's 0.727, 2.5x better calibrated, 4x faster, free. Trains on a Colab T4 in 30 min.
ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode.
Turn any off-the-shelf LLM into a Jev -like decision layer
Thinking coreutils
an open-source, from-first-principles reconstruction of the ideas behind TypeSafe AI's Jev, written in pytorch
Auto mode for every coding agent, built on Jev: risk-scores every tool call with session context (deny / ask / allow), flags prompt injection in results, checks skills and plugins. Claude Code, Codex, Copilot, Gemini, Cursor, pi, OpenCode, ACP.
Skill for Hermes, and other agents, to ask typesafe's jev
Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results
A simple semantic cache implementaion. It caches responses from an LLM based on semantic similarity.
A database-agnostic Agentic GraphRAG framework using swappable System One models (local Laya / cloud Jev). A plug-and-play intelligence layer featuring a complete 4-phase pipeline, continuous evaluation and custom A* traversal for any graph database.
⚡ 适合中国宝宝的 Jev 入门教程|手把手带你了解关于 Jev 的一切——Jupyter Notebook 轻松实验,从三种问题原语到 18 篇实战配方、语音智能家居、模型评测与本地微调,全面掌握 System One 判断模型的开发范式
1v1 Jev quickscope arena — Three.js + TypeSafe System One